QA Engineer- AI/Data Platform Project

Job Summary:
Seeking an AI Quality Assurance Data Engineer to support testing and validation of AI/ML analytical models and data pipelines within a modern data lake environment. This role focuses on ensuring data quality, model reliability, and system performance through manual and automated testing.

Key Responsibilities:

• Execute functional, regression, and performance testing for AI/data platforms

• Validate data quality across relational systems and data lakes

• Test AI/ML analytical models for accuracy and reliability

• Develop and maintain test cases, scripts, and documentation

• Log and track defects using Jira and Zephyr Scale

• Collaborate with data scientists, engineers, and product teams

Required Skills:

• Strong Python and SQL

• Experience testing data analytics and AI/ML solutions

• Knowledge of machine learning concepts and model lifecycles

• Automation testing experience (Tricentis Tosca preferred)

• Azure experience (including Databricks)

• Data modeling and data quality validation

• Jira, Zephyr Scale